Cloud Engineer, AI/ML, Global Services Delivery, Google Cloud

Google; Austin (TX); On-site; USD 152,000 - 221,000; Full time

Job summary

Google is seeking a Cloud Engineer to design and implement machine learning solutions for customer use cases, traveling to client sites to deploy and educate. You will collaborate with customers to identify opportunities to transform their business with ML and leverage Google Cloud products.

Responsibilities include leading engagements, delivering big data/ML solutions, and influencing the Google Cloud Platform roadmap while communicating effectively with stakeholders across levels.

Qualifications

• Bachelor's degree in Computer Science or equivalent practical experience.
• 6 years of experience building machine learning solutions and working with technical customers.
• Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.
• Ability to travel up to 20% of the time.

Responsibilities

• Work with customer technical leads, client executives, and partners to scope, manage and deliver successful implementations of cloud solutions becoming a trusted advisor to decision makers throughout the engagement.
• Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines for successful client outcomes.
• Deliver effective big data and machine learning solutions and solve complex technical customer challenges.
• Identify new product features and feature gaps, provide guidance on existing product challenges, and collaborate with product managers and engineers to influence the roadmap of Google Cloud Platform.
• Deliver best practices recommendations, tutorials, blog articles, and technical presentations adapting to different levels of key business and technical stakeholders.

Skills

Machine Learning

Python

Java

Go

C/C++

Travel

Education

Bachelor's degree in Computer Science or equivalent practical experience

Job description

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Atlanta, GA, USA; Chicago, IL, USA; Addison, TX, USA.

Minimum qualifications

• Bachelor's degree in Computer Science or equivalent practical experience.
• 6 years of experience building machine learning solutions and working with technical customers.
• Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.
• Ability to travel up to 20% of the time.
  

Preferred qualifications

• Experience working with recommendation engines, data pipelines, or distributed machine learning. Experience with data analytics, data visualization techniques and software, and deep learning frameworks.
• Experience in agentic workflow or Large Language Model (LLM)-based solutions.
• Experience in software development, professional services, solution engineering, technical consulting. Expertise in architecting and rolling out new technology and solution initiatives.
• Experience with core data science techniques.
• Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments.
• Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.
  

About The Job

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
This is a key role for a Cloud Engineer to design and implement machine learning solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to transform their business with machine learning, and will travel to customer sites to deploy solutions and deliver workshops designed to educate and empower customers to realize the full potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product code, and address customer and partner needs. In this role, you will lead the timely execution of adopting the Google Cloud Platform solutions to the customer’s requirements.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $152000 - $221000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google.

• Work with customer technical leads, client executives, and partners to scope, manage and deliver successful implementations of cloud solutions becoming a trusted advisor to decision makers throughout the engagement.
• Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines for successful client outcomes.
• Deliver effective big data and machine learning solutions and solve complex technical customer challenges.
• Identify new product features and feature gaps, provide guidance on existing product challenges, and collaborate with product managers and engineers to influence the roadmap of Google Cloud Platform.
• Deliver best practices recommendations, tutorials, blog articles, and technical presentations adapting to different levels of key business and technical stakeholders.
  

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .